Thu.Aug 30, 2018

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Building accessible tools for large-scale computation and machine learning

O'Reilly on Data

The O’Reilly Data Show Podcast: Eric Jonas on Pywren, scientific computation, and machine learning. In this episode of the Data Show , I spoke with Eric Jonas , a postdoc in the new Berkeley Center for Computational Imaging. Jonas is also affiliated with UC Berkeley’s RISE Lab. It was at a RISE Lab event that he first announced Pywren , a framework that lets data enthusiasts proficient with Python run existing code at massive scale on Amazon Web Services.

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How Fannie Mae is Creating a Modern Data Environment

Bruno Aziza

Fannie Mae has established a modern data environment which results in a richer and more granular customer experience.

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Introducing Cloudera Enterprise 6.0

Cloudera

Digital technologies are changing business models, reshaping how companies go-to-market, win new customers and drive new revenue-producing opportunities. Consider the following practices that, until recently, were relegated to the R&D department: Data-driven decision making – the collection and analysis of data to guide decisions that improve success.

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Data Science Challenges – It’s Deja Vu all over again!

Peter James Thomas

The rather famous tautology, “It’s déjà vu all over again”, has of course been ascribed to that darling of malapropisms, baseball catcher Yogi Berra [1]. The phrase came to mind for me today when coming across the following exhibit: © Business Over Broadway (2018). Based on Kaggle’s State of Data Science Survey 2017 (Sample size: 10,153).

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.